JOKKI — CS2 Stats

76561197960514958[U:1:249230]

139Tracked matches70%Win rate2020Tracked since

CSDB Rating7.3 StrongEntry Fragger

Ladder ranks via Leetify

Performance scores

Aim78

Positioning70

Utility63

0–100 skill scores via Leetify.

Recent form

HOT48–50–2Last 10048%Win rateLWWLWLWWWW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim7.8

Aggression10.0

Utility6.3

Positioning7.0

Opening Duels6.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like s1mple 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 553ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.8

Positioning7.0

Utility6.3

Mechanics6.6

Opening Duels6.6

Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time569ms−102ms

first ⅓ avg 671ms → last ⅓ avg 569ms

Headshot accuracy26.8%+1.1%

first ⅓ avg 25.6% → last ⅓ avg 26.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.12Best rating — vertigo 9–13

13–2Biggest win — dust2

4Longest win streak

11–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 71% over 14ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	15–14	52%	-0.01
inferno	D	19	4–15	21%	0.00
nuke	S	14	10–4	71%	0.01
mirage	A	11	7–4	64%	0.02
vertigo	C	8	3–5	38%	0.01
anubis	B	6	3–3	50%	-0.01
ancient	D	5	1–4	20%	-0.01
cache	—	3	2–1	67%	0.02
overpass	—	2	0–2	0%	-0.04
train	—	1	1–0	100%	0.04
tuscan_d	—	1	1–0	100%	0.06
cbble_d	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

221Matches

58%Win rate

1.28Avg K/D

—ADR

41%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLW

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

27.6%Headshot accuracy

34.7%Accuracy (enemy spotted)

28.3%Spray accuracy

79.6%Counter-strafing

9.6°Preaim

553msReaction time

52.7%T opening success

60.5%CT opening success

0.63Enemies flashed / flash

3.5%Flash assists

11.11HE damage / grenade

12.70Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	9–13	0.00	36%	27 Aug →
nuke	13–9	0.07	22%	27 Aug →
dust2	13–7	0.08	37%	27 Aug →
dust2	0–12	-0.04	24%	27 Aug →
mirage	13–7	0.08	25%	25 Aug →
inferno	8–13	-0.01	30%	24 Aug →
dust2	13–10	-0.01	18%	24 Aug →
mirage	13–7	0.02	32%	19 Aug →
anubis	19–17	0.03	34%	19 Aug →
dust2	16–14	-0.04	22%	19 Aug →
vertigo	8–13	-0.03	24%	19 Aug →
mirage	13–9	0.03	11%	19 Aug →
cache	13–11	0.06	31%	17 Aug →
inferno	14–16	0.04	41%	16 Aug →
inferno	9–0	0.04	31%	15 Aug →
dust2	13–7	-0.04	33%	15 Aug →
mirage	13–6	-0.02	24%	13 Aug →
dust2	10–13	0.04	36%	13 Aug →
nuke	13–7	0.07	26%	11 Aug →
dust2	13–10	-0.04	24%	16 Jul →
dust2	13–4	0.11	22%	16 Jul →
cache	13–10	0.00	21%	14 Jul →
dust2	9–13	-0.02	34%	14 Jul →
inferno	13–11	0.01	24%	14 Jul →
nuke	16–13	0.06	36%	14 Jul →
dust2	13–11	0.05	23%	14 Jul →
nuke	13–11	-0.01	22%	5 Jul →
inferno	12–16	-0.02	21%	3 Jul →
vertigo	13–11	0.01	22%	3 Jul →
dust2	6–13	-0.00	35%	3 Jul →
mirage	9–13	-0.04	17%	28 Jun →
ancient	13–8	0.01	16%	28 Jun →
nuke	13–9	0.02	27%	25 Jun →
dust2	16–13	-0.01	29%	25 Jun →
vertigo	6–13	-0.05	14%	24 Jun →
dust2	7–13	-0.02	27%	24 Jun →
inferno	16–19	-0.00	32%	22 Jun →
dust2	8–13	-0.02	28%	22 Jun →
nuke	13–9	0.01	33%	22 Jun →
anubis	13–9	-0.01	19%	17 Jun →
mirage	9–13	0.01	33%	11 Jun →
dust2	13–7	-0.01	30%	11 Jun →
dust2	10–13	-0.02	23%	9 Jun →
nuke	3–13	-0.07	47%	9 Jun →
inferno	14–16	0.02	42%	9 Jun →
dust2	13–10	0.02	27%	8 Jun →
nuke	13–4	0.04	29%	8 Jun →
vertigo	9–13	0.12	31%	8 Jun →
nuke	10–13	0.00	36%	5 Jun →
dust2	13–3	-0.06	24%	5 Jun →
nuke	10–13	-0.05	31%	4 Jun →
dust2	7–13	-0.04	40%	4 Jun →
inferno	9–13	0.02	32%	4 Jun →
inferno	13–16	-0.00	25%	1 Jun →
ancient	11–13	0.04	22%	1 Jun →
anubis	0–13	-0.08	12%	1 Jun →
train	13–8	0.04	24%	1 Jun →
nuke	4–13	-0.08	17%	26 May →
inferno	13–4	0.02	11%	26 May →
dust2	9–13	-0.04	35%	26 May →
dust2	19–16	0.02	27%	24 May →
tuscan_d	13–6	0.06	31%	24 May →
dust2	13–7	-0.01	29%	24 May →
nuke	13–8	0.05	39%	24 May →
inferno	10–13	0.01	19%	20 May →
mirage	13–9	0.01	29%	20 May →
anubis	8–13	-0.05	40%	20 May →
ancient	11–13	-0.06	19%	19 May →
cache	13–16	-0.00	17%	11 May →
dust2	13–2	-0.04	18%	11 May →
vertigo	10–13	0.02	35%	11 May →
inferno	7–13	-0.00	37%	11 May →
dust2	13–11	0.03	34%	7 May →
vertigo	13–10	0.02	41%	7 May →
inferno	9–13	-0.05	26%	4 May →
mirage	10–13	-0.05	46%	16 Apr →
overpass	9–13	-0.00	30%	16 Apr →
overpass	9–13	-0.08	33%	26 Feb →
dust2	2–13	-0.00	0%	23 Jan →
inferno	11–13	-0.03	30%	20 Jan →
cbble_d	13–10	0.09	27%	20 Jan →
ancient	10–13	0.03	19%	13 Dec →
mirage	13–3	0.06	20%	8 Jul →
dust2	9–13	-0.04	20%	8 Jul →
dust2	9–13	-0.02	16%	7 Jun →
inferno	13–8	0.03	36%	7 Jun →
ancient	10–13	-0.05	15%	7 Jun →
mirage	13–3	0.09	20%	7 Jun →
nuke	13–11	0.01	23%	5 Jun →
inferno	6–13	-0.02	24%	4 Jun →
inferno	5–13	0.01	33%	23 May →
nuke	13–3	0.05	24%	23 May →
dust2	9–13	0.02	30%	22 May →
inferno	12–12	-0.00	18%	22 May →
dust2	12–12	-0.05	24%	24 Feb →
vertigo	13–11	0.02	17%	3 Jan →
inferno	4–13	-0.01	39%	30 Dec →
anubis	13–11	-0.03	12%	30 Dec →
mirage	13–16	-0.00	33%	29 Dec →
anubis	11–13	0.10	28%	29 Dec →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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